Area of research
Molecular Biology · Computational Theory and Mathematics
Research interest
Research focused on Artificial intelligence and Allosteric regulation, with related work in Contig, Cluster analysis, Missense mutation. Notable publications include 'JCcirc: circRNA full-length sequence assembly through integrated junction contigs', 'A Comparative Study of Sequence Clustering Algorithms', and 'PmmNDD: Predicting the Pathogenicity of Missense Mutations in Neurodegenerative Diseases via Ensemble Learning'.
A Comparative Study of Sequence Clustering Algorithms
Integrative multi-omics analysis reveals the interaction mechanisms between gut microbiota metabolites and ferroptosis in rheumatoid arthritis
Structure Profiling of Broad-Specificity Immunoassays: Multitarget Recognition for Sulfonylurea Adulteration in Food
AlloPED: Leveraging Protein Language Models and Structure Features for Allosteric Site Prediction
Allo-PED: Leveraging protein language models and structure features for allosteric site prediction
Microfluidic detection based on size-encoded microbeads and rolling circle amplification for multiplex respiratory virus nucleic acid detection
PmmNDD: Predicting the Pathogenicity of Missense Mutations in Neurodegenerative Diseases via Ensemble Learning
RevGraphVAMP: A protein molecular simulation analysis model combining graph convolutional neural networks and physical constraints
JCcirc: circRNA full-length sequence assembly through integrated junction contigs